Parking revenue optimization, on autopilot

Parking is one of the last consumer markets where prices change once a year. Hotels re-price by the hour. Airlines re-price by the second. Ride-share platforms re-price based on real-time supply and demand. Parking — same product, same demand pattern — still defaults to a static printed rate set in a budget meeting.

The opportunity for the operator is large. A 200-space downtown garage at $4/hour static, 40% utilisation, generates roughly $700,000 in annual gross. Adding time-of-day pricing (peak vs off-peak) and event-window surges typically lifts that to $810,000 - $875,000 — without changing the lot, the staff, or the marketing. Park Graph is how you get from the first number to the second.

Dynamic pricing. Time-of-day, day-of-week, occupancy threshold, and event-window rules. Operators set caps and floors so prices never exceed reasonable bounds. The current rate is shown on the QR payment page so drivers always know what they're paying before they commit.

Demand forecasting. Per-lot models trained on at least 30 days of session history produce a 7-day forward forecast. Operators use the forecast to publish event windows in advance, schedule cleaning and staffing, and tune permit issuance.

Channel attribution. Every revenue dollar is attributed to the channel that delivered it: transient QR scans, advance reservations, monthly permits, validations, and AI-agent bookings. Operators use the mix to decide where to invest.

Operational controls. Refunds, capacity caps, blackouts, manual overrides, and audit logging. Park Graph never imposes a pricing decision on the operator — the platform suggests, the operator decides.

The calculator above is the same tool we use in customer onboarding to model expected revenue lift. The base scenario is your current lot at its current rate and utilization. The Park Graph scenarios show the typical lift from a) running the same static rates with no friction, and b) enabling time-of-day plus occupancy-based dynamic pricing.

1. 1

   Sign up

   ~2 min

   Free Starter plan, no credit card required.

2. 2

   Create the lot + base rate

   ~4 min

   Add address, capacity, and base hourly rate.

3. 3

   Configure pricing rules

   ~15 min

   Time-of-day, day-of-week, occupancy, event-window. Stack with priorities.

4. 4

   Set caps and floors

   ~5 min

   Maximum surge multiplier, minimum rate, daily cap.

5. 5

   Wait 30+ days, then enable forecasting

   ~1 min

   Model needs ≥30 days of session data per lot.

6. 6

   Review weekly

   ~10 min

   Dashboard surfaces opportunities and exceptions every Monday.